A hybrid simulated annealing linear programming approach for treatment planning in HDR brachytherapy with dose volume constrai
نویسندگان
چکیده
This paper presents a hybrid approach for developing radiation plans for high dose rate brachytherapy in cancer treatment. In order to take care of the computationally hard dose volume constraints, linear programming (LP) is alternated with heuristic neighborhood search which allows for a quick generation of multiple feasible treatment plans. The simulated annealing neighborhood search is guided by both the primal and dual information available after each LP optimization. The approach is very promising compared to a traditional mixed integer programming approach for dealing with the dose volume constraints.
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